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Vibe Engineering: Ship an AI-Native CRM + Embedded Agents

Emilio Taylor

Ship Production-Ready AI Systems

Beyond Theory. We Build, Ship and Iterate with AI

Most “AI app” tutorials stop at prompts and demos. In real products, AI features break without workflow state, tool boundaries, logging, retries, and cost controls.

In this course you’ll ship a deployed CRM-style web app (React + Supabase + Vercel) and then extend it with embedded agentic workflows using three patterns: code-first, orchestrated, and agent-platform APIs. You’ll leave with a repeatable blueprint you can reuse across products.

What you’ll learn

Ship a deployed AI-native CRM and learn 3 production-ready agentic workflow patterns you can reuse to build reliable AI features.

  • Break AI features into explicit workflow states (input → decision → action → resolution).

  • Model success, failure, and fallback paths using real CRM use cases.

  • Apply a repeatable design framework to reason about AI behavior before writing code.

  • Implement authentication, row-level security (RLS), and multi-tenant data access.

  • Design and build core CRM entities with production-safe CRUD patterns.

  • Deploy the application end-to-end (React + Supabase + Vercel) with confidence.

  • Implement agents as code-first workflows rather than prompt-only logic.

  • Define tool boundaries, permissions, and execution limits.

  • Add guardrails to prevent runaway behavior, hallucinated actions, or unsafe calls.

  • Design event-driven automations triggered by real system events.

  • Orchestrate multi-step workflows across services with full traceability.

  • Add auditability so every AI action can be inspected, replayed, or rolled back.

  • Implement an external agent API and wire it into the CRM.

  • Compare embedded vs platform-based agent approaches (latency, control, cost).

  • Learn how to evaluate vendor lock-in, extensibility, and long-term maintenance.

  • Enforce structured outputs for predictable downstream behavior.

  • Implement retries, timeouts, and failure handling patterns.

  • Add logging, observability, and cost controls to keep AI systems stable and affordable.

Learn directly from Emilio

Emilio Taylor

Emilio Taylor

Contact

Author of Vibe Engineering | Founder, Visao + Helix | AI Systems for RevOps

Amazon
Prime Video
Cruise Norwegian
Zurich

Who this course is for

  • Senior React / full-stack engineers (5+ yrs) who need a repeatable way to ship AI features that won’t fall apart in production.

  • Technical founders / indie builders who want to ship an AI-native MVP fast, with guardrails and a real architecture.

  • Engineering leads / product engineers establishing internal patterns for building embedded AI workflows safely.

Prerequisites

  • Comfortable building React apps and running a repo locally

    You’ll build and extend a real React codebase, debug locally, and ship features quickly without getting blocked on frontend basics.

  • Basic understanding of APIs and databases (CRUD)

    AI features sit on top of real data. You’ll design workflows that read, write, and protect data using APIs and database patterns.

  • Willing to write JavaScript/TypeScript and read logs

    This course is code-first. You’ll reason through logs, failures, and edge cases to make AI systems reliable and production-safe.

Course syllabus

11 live sessions • 26 lessons • 19 projects

Week 1

Feb 3—Feb 8

    Feb

    4

    Live Session 1 — Designing an AI-Native CRM (Architecture + Vibe Engineering)

    Wed 2/43:00 PM—4:30 PM (UTC)

    Feb

    6

    Live Session 2 — Building & Shipping the Baseline CRM

    Fri 2/63:00 PM—4:30 PM (UTC)

    Week 1 — Build & Ship Your Baseline CRM

    12 items

    Feb

    7

    Optional: Week 1 — Office Hours: Setup + Architecture Review

    Sat 2/73:00 PM—4:00 PM (UTC)
    Optional

Week 2

Feb 9—Feb 15

    Feb

    11

    Live Session 3 — AI in the Loop: Where AI Belongs (and Doesn’t)

    Wed 2/113:00 PM—4:30 PM (UTC)

    Feb

    13

    Live Session 4 — CRM Intelligence: Summaries, Insights, and Assistive UX

    Fri 2/133:00 PM—4:30 PM (UTC)

    Week 2 - Intelligence Layer — Embedding AI into Workflows

    12 items

    Feb

    14

    Optional: Office Hours (Week 2) — AI-in-the-Loop + Intelligence Feature Review

    Sat 2/143:00 PM—4:00 PM (UTC)
    Optional

Schedule

Live sessions

2-3 hrs / week

Live sessions focus on core concepts, architecture decisions, and hands-on walkthroughs. We design and build together, with time for questions and real-world tradeoff discussions.

    • Wed, Feb 4

      3:00 PM—4:30 PM (UTC)

    • Fri, Feb 6

      3:00 PM—4:30 PM (UTC)

    • Sat, Feb 7

      3:00 PM—4:00 PM (UTC)

Projects

3-4 hrs / week

Project work is where you apply each week’s concepts to a real AI-native CRM. You’ll incrementally build, extend, and harden a production-style system—not toy demos.

Async content

2-3 hrs / week

Async lessons cover setup, deeper dives, and supporting patterns so live time stays focused on design and implementation. Watch on your own schedule.

Frequently asked questions

$1,200

USD

Feb 3—Feb 28
Enroll